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  pages =       { 577-609 },
  e-mail =      { barsalou@emory.edu user },
  url =         { www.service.emory.edu/~barsalou/ },
}}


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  journal =     {IEEE Transactions on Pattern Analysis and Machine 
Intelligence},
  pages =     {411--426},
  year =     {2007},
  publisher =     {IEEE Computer Society}
}


@conference{jhuang-serre-wolf-poggio-07iccv,
  title =     {A Biologically Inspired System for Action Recognition},
  author =     {Jhuang, H. and Serre, T. and Wolf, L. and Poggio, T.},
  booktitle =     {Computer Vision, 2007. ICCV 2007. IEEE 11th International
                  Conference on},
  pages =     {1--8},
  year =     {2007},
  doi =         {doi:: 10.1109/ICCV.2007.4408988},
  annote =     {
}
}

@conference{zhang-berg-makik-2006cvpr,
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@article{guha2007lll,
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  interHash = {483b7ae704f12170693f6e2175b79c3e},
  intraHash = {abfdbb518a8bdc72419fba6e833cb800},
  pages = {1-4},
  publisher = {IEEE},
  title = {Pedestrian detection by modeling local convex shape features.},
  url = {http://dblp.uni-trier.de/db/conf/icpr/icpr2008.html#ParkLWM08},
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  ee = {http://dx.doi.org/10.1109/ICPR.2008.4761708},
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}


@article{huW-zhou-maybank-2009-occlusion-reasoning-people-tracking,
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pages = {114--121},
year = {2009}
}


@conference{stein2007lfo,
title={{Learning to find object boundaries using motion cues}},
author={Stein, A. and Hoiem, D. and Hebert, M.},
booktitle={IEEE 11th International Conference on Computer Vision, 2007. 
ICCV 2007},
pages={1--8},
year={2007}
}

@inproceedings{RenFM06,
        author = "Xiaofeng Ren and Charless C. Fowlkes and Jitendra Malik",
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	pages = "614-627",
        year = "2006"
}


@article{stein-herbert-2008-local-occlusion-boundaries-in-video,
title={{Local detection of occlusion boundaries in video}},
author={Andrew N. Stein and Martial Hebert},
journal={Image and Vision Computing},
year={2008},
publisher={Elsevier},
email = {anstein@cmu.edu, hebert@ri.cmu.edu}
}

@inproceedings{Serre,
	address = {Washington, DC, USA},
	author = {Serre, Thomas   and Wolf, Lior   and Poggio, Tomaso  },
	booktitle = {CVPR '05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2},
	citeulike-article-id = {437965},
	doi = {10.1109/CVPR.2005.254},
	keywords = {bioinspiration, gabor, object\_recognition, vision, wavelets, weight-sharing},
	pages = {994--1000},
	posted-at = {2008-12-31 13:34:39},
	priority = {0},
	publisher = {IEEE Computer Society},
	title = {Object Recognition with Features Inspired by Visual Cortex},
	url = {http://dx.doi.org/10.1109/CVPR.2005.254},
	year = {2005}
}

@article{rib,
	abstract = {Visual processing in cortex is classically modeled as a hierarchy of increasingly sophisticated representations, naturally extending the model of simple to complex cells of Hubel and Wiesel. Surprisingly, little quantitative modeling has been done to explore the biological feasibility of this class of models to explain aspects of higher-level visual processing such as object recognition. We describe a new hierarchical model consistent with physiological data from inferotemporal cortex that accounts for this complex visual task and makes testable predictions. The model is based on a MAX-like operation applied to inputs to certain cortical neurons that may have a general role in cortical function.},
	address = {Department of Brain and Cognitive Sciences, Center for Biological and Computational Learning and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.},
	author = {Riesenhuber, M.  and Poggio, T. },
	citeulike-article-id = {2765646},
	doi = {10.1038/14819},
	issn = {1097-6256},
	journal = {Nature neuroscience},
	keywords = {hierarchical\_model, vision, weight-sharing},
	month = {November},
	number = {11},
	pages = {1019--1025},
	posted-at = {2008-12-31 13:50:54},
	priority = {0},
	title = {Hierarchical models of object recognition in cortex.},
	url = {http://dx.doi.org/10.1038/14819},
	volume = {2},
	year = {1999}
}